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theoretical knowledge but also equipped me with practical skills. I am excited about the prospect of contributing to your esteemed organization. Thank you for considering my profile. Education Universitas Katolik Parahyangan (UNPAR) Hubungan InternasionalWork Experience Data Science Student Bootcamp Binar Academy AugustPresent Currently participating in an intensive Data Science bootcamp, actively gaining hands-on experience in data manipulation, visualization, and machine learning techniques.. Acquiring proficiency in tools such as Python, Jupyter Notebook, and libraries like Pandas, Matplotlib, and Scikit-Learn. Mastering SQL and NoSQL databases for versatile data handling. Developing a solid foundation

to succeed. Education National Yang Ming Chiao Tung University Master of Science, Institute of Biomedical Informatics, 2014 ~ 2017 Thesis: Data Cleansing and Analyzing of the Service Amount of Emergency Departments in Taiwan.which aims to ameliorate Emergency Department congestion without physician rescue and clinical therapy in Taiwan via data cleaning of Ministry of Health and Welfare 's rule ED real-time pending index and clinical data analyzed with Python and PostgreSQL programming skill Achievement ✪ Joint Conference on Medical informatics oral presentation, Jun2016 ✪ Microsoft Coding Angels Dec 2015 ✪ Applied Data Science Camp Dec2015 ✪International Congress on

Shi, Zhi-Hao Hi, I am Harry. I graduated from National Taiwan University. I enjoy taking part in data science competitions (Kaggle & Zindi), exploring interesting datasets, and finding diverse applications for various algorithms. I am skilled in the interdisciplinary field of biological and applied mathematics. I’d describe myself as an open-minded and easy-going person. I enjoy the feeling of working together in a team to solve problems. Taiwan 教育背景 National Taiwan University Master of Science, Computational and Applied MathematicsNational Cheng Kung University (NCKU) Bachelor of Science, Life Science

and preparedness for sophisticated analytics and reporting. Utilized Databricks and Airflow to run extensive data profiling tasks, analyzing data patterns and identifying potential quality issues before they reached the Databricks Delta Lake. Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks. MLOps / Machine Learning / Data Science Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration. Seamlessly merged our recommendation

Shu-Wen Cheng The development of data science has been rapidly expanding in recent years, which sparked my interest. Therefore, I decided to transition to this field, and I have completed courses and exercises about Python and SQL: - Hahow: ◎ How to Become a Data Analyst: From Problem Solving to Action Plan ◎ 50+ Exercises of SQL: Beginner-Friendly Database Introduction ◎ 50+ Exercises of Python: Data Science Handbook - Kaggle: ◎ About Python: Intro to Programming, Python, Pandas, Data Cleaning ◎ About SQL: Intro to SQL, Advanced SQL ◎ Competition: Titanic - Machine Learning from Disaster, CommonLit - Evaluate

in front-end or user-centered roles that make direct business impacts. [email protected] Tainan City feiyuan-alex-ko alexkocodes alexkocodes.github.io/alexko.home/ Education New York University Abu Dhabi (GPA 3.948/Bachelor of Science in Computer Science . Minors in Music and Interactive Media . Founders’ Day Honor Scholar 3 y ears of leadership experience at Anchorage, an award-winning student-led LGBT organization. Prominent Course Work: Data Structures, Algorithms, Computer Architecture, Computer Networks, Software Engineering, Operating Systems, Data Science and Programming, Computational Social Science

秘書長 • 社團法人資料科學協會(非營利組織) 設計並實作官方網站，支援其他活動專案設計需求，製作贊助簡報Present 核心志工 • Data Science Meetup 設計 Facebook 活動 Banner 籌辦 100人以上社群活動，報到率達8成，迭代活動報到體驗 提供贊助合作方活動數據，保持三年以上